Masterclass in Applied Data Analytics Course

Why select this training course?

Technology is your most powerful ally in today’s highly competitive financial services market. Whether dealing with customer data, managing risk, or addressing regulatory mandates, business intelligence, and analytics can help you make better decisions for your organization and provide a world-class client experience. Analyzing data from operational systems and processes, analytics solutions can identify inefficiencies and automatically suggest ways to improve processes. This can save companies money by reducing the resources and time required to perform certain tasks while allowing managers to perform their most critical duties with fewer interruptions.

What does business intelligence have to do with finance?

Business intelligence (BI) is widely used in the finance industry, and one of its key functions is to facilitate financial reporting and regulatory compliance. With the use of Business Intelligence technologies, accountants and auditors can check that their financial statements are correct and in line with all applicable regulations by seeing data from all relevant sources in a single dashboard or report. Business intelligence (BI) may assist in strategic planning and forecasting in addition to financial reporting and compliance. Finance experts may boost productivity by looking at past financial data and industry trends to find expansion opportunities.

What are the career opportunities in the field of business intelligence and analytics?

The career opportunities available in BI and analytics are diverse and growing. As more companies recognize the value of data-driven insights, the demand for skilled BI and analytics professionals is expected to grow. This makes BI and analytics a promising field for professionals looking to build a career in technology and data analysis.

Your path to becoming a data-driven professional doesn’t have to be a long and winding road. With Rcademy’s Business Intelligence and Analytics in Finance Course, you’ll learn the fundamentals of business intelligence. This course is designed for professionals who work with data daily and want to learn more about the field. You’ll learn about the core concepts of business intelligence, which are the building blocks of big data analytics. Modules cover everything from the most common BI tools and applications to the data warehouse for business reporting, online analytical processing, data visualizations, and descriptive analysis. The course will give you an overview of how BI and Analytics can be utilized for the organization’s benefit. This will give you the knowledge and understanding to answer questions such as: What is the data warehouse? What are Business Intelligence systems available? When to use business intelligence in the organization? And many more.

Rcademy’s Mastering Business Intelligence and Analytics in Finance course is a great way to get into the field. It will provide a solid foundation for further study and become a stepping-stone to more advanced courses. This means that you’ll have a solid grounding in the world of business intelligence and will be well-equipped to pursue any path you’re interested in.

Who should attend?

The Mastering Business Intelligence and Analytics in Finance Course by Rcademy is recommended for any beginner or professional interested in working with finance or data:

• Data analysts
• Business analysts
• Financial analysts/financial statement analysts
• Quantitative analysts
• Finance managers/strategic managers
• Entrepreneurs

What are the course objectives?

The objective of the course is to highlight the increasing relevance of Business Intelligence and Analytics in finance by understanding its useful functions. Through the course, you’ll:

• Learn to develop reliable forecasts for the business
• Learn the latest BI tools and applications such as multidimensional analysis, visualized reports, scorecards, descriptive analysis, predictive analysis, etc.
• Learn to develop improved business performance and analytical dashboards
• Learn to develop systems that can identify favorable and unfavorable key performance variances in operations
• Improve the quality of your demand analysis and forecasting through better analytics tools
• Gain the ability to offer personalized financial services to the right customer at the right time by conducting intelligent marketing campaigns
• Learn to do a multidimensional analysis of business performance by dividing it into segments, geography, products, etc., with BI tools
• Gain an understanding of the latest trends prevalent in BI
• Learn to use BI and Analytics to enhance core business processes
• Gain a competitive edge over peers by using BI to compare competitor’s products and discovering ways to strengthen products offered

How will this course be presented?

• Interactive sessions
• Use of case studies
• Management games
• Learning preparation of reports, charts, graphs
• Real-time exercises
• Problem-solving and Group discussion sessions

What are the Topics covered in this course?

Module 1: Introduction to Business Intelligence and Analytics

• Business Intelligence Roles and Practices
• Business intelligence solution life cycle
• Relevance of BI solutions today
• Scope and Spectrum of Business Intelligence in the present world
• Is Business Intelligence and Analytics different?
• The strategic Importance of Business Intelligence

Module 2: Business Intelligence and Analytics Use in Finance 

• Tracking financial position
• Cashflow management
• Revenue management
• Balance sheet management
• Profitability management

Module 3: Business Intelligence Tools

• Ad hoc analysis
• Querying
• Enterprise Reporting
• Data warehousing
• Creating dashboards
• Types of dashboards

Module 4: Descriptive analysis

• When to use descriptive analysis
• Descriptive analysis for financial data
• Data aggregation, data mining, data discovery
• Process of descriptive analysis
• Examples of descriptive analysis

Module 5: Predictive analysis

• Descriptive vs predictive analysis
• Techniques of predictive analysis: statistical modeling, machine learning algorithms
• Deep learning
• Scope of predictive analysis
• Prescriptive analysis
• Using Excel for applying data science to accounting datasets

Module 6: Leveraging Business Intelligence and Analytics

• Strategizing to leverage Business Intelligence
• Why does business intelligence leverage matter?
• Finding the right tools for the business
• Understanding the Business intelligence process
• Data-driven approach

Module 7: Financial Forecasting

• Backward-looking data and forward-looking data
• Visionary Intelligence
• Gathering and cleaning data
• Understanding financial regression analysis
• Financial forecasting applications
• Applied forecasting

Module 8: Data Visualisation

• Data visualization tools
• Data visualization in Excel
• Data storytelling
• Static data visualization
• Interactive data visualisation

Module 9: Online Analytical Processing

• OLAP and OLTP
• Scope of OLAP
• Understanding the structure of OLAP
• OLAP Operations
• Types of OLAP systems
• Advantages and disadvantages of OLAP

Module 10: Challenges and Trends in Business Intelligence 

• The Human Element in Business Intelligence
• Customizing Business Intelligence
• Data quality issue
• Inconsistent information in data silos
• End-user training
• Trends: real-time analytics, data literacy
• Collaborative Business Intelligence